Explore recent research papers collected from PubMed.
This review examines the genetic mechanisms of inbreeding depression in diploid potatoes, focusing on the accumulation of deleterious mutations due to clonal propagation. It evaluates various breeding strategies, such as genomic selection and CRISPR-Cas9, to mitigate genetic load and facilitate the development of homozygous inbred lines for hybrid potato breeding.
This study investigates how the number of hydroxyl groups in polyphenols affects their interactions with potato starch and whole potato flour matrices. The research demonstrates that the complexity of the whole potato flour matrix alters polyphenol crystallization and structural properties, providing insights into the food science and nutritional characteristics of potato-based systems.
This study utilizes CRISPR/Cas9 to knock out the StGAME9 transcription factor in potato, revealing its critical role in regulating both basal and induced steroidal glycoalkaloid (SGA) biosynthesis. The results demonstrate that loss of StGAME9 significantly reduces SGA levels in tubers and leaves without negatively impacting plant growth, offering a potential strategy for developing safer potato varieties.
This study explores the development of biodegradable composite films using starch extracted from potato peel waste as a primary material. The research characterizes the physical, thermal, and mechanical properties of these films, demonstrating their potential as eco-friendly alternatives for packaging applications.
This paper introduces LongPolyASE, a computational framework for allele-specific gene and isoform expression analysis in polyploids using long-read RNA sequencing. The tool was validated using autotetraploid potato, demonstrating its ability to identify cis-regulatory variation and haplotype-specific splicing differences in complex genomes.
This review explores post-transcriptional RNA regulation mechanisms, including alternative splicing and small RNA pathways, in Solanaceae crops such as potato. It highlights how these processes mediate light-stress responses and discusses the integration of multi-omics data and machine learning to improve crop resilience and performance.
This study demonstrates successful chloroplast genome engineering in potato (Solanum tuberosum) to produce diterpenes by targeting the trnT/trnL plastomic locus. By co-expressing a fern diterpene synthase and an algal precursor enzyme, the researchers achieved high-value metabolite production without compromising the plant's agronomic performance.
This study explores the potential of the fungus Aspergillus sulphureoviridis as a biocontrol agent against Dickeya solani, a major pathogen causing soft rot and blackleg in potatoes. The research identifies specific antibacterial metabolites and demonstrates how the fungus induces beneficial defense responses in Bacillus subtilis, offering a sustainable strategy for managing potato diseases.
This study identifies a novel isolate of Aureobasidium pullulans from potato foliage that effectively controls Penicillium commune, the cause of blue mold rot in stored potatoes. The researchers optimized the production of antifungal metabolites using the Taguchi method, demonstrating the isolate's potential as a biocontrol agent for postharvest potato disease management.
This study introduces SIS-YOLOv11, a deep learning framework designed for the early detection of early and late blight in potato and tomato leaves. The model incorporates climate-adaptive mechanisms and style randomization to improve cross-crop generalization and performance in challenging environmental conditions.